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Intro to Artificial Intelligence - Markov Decision Process (MDP) - Lecture 17

Offered By: Dave Churchill via YouTube

Tags

Markov Decision Processes Courses Artificial Intelligence Courses Reinforcement Learning Courses Dynamic programming Courses Stochastic Processes Courses Decision Theory Courses Bellman Equations Courses

Course Description

Overview

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Explore the fundamental concepts of Markov Decision Processes (MDPs) in this graduate-level lecture from Memorial University's Computer Science 6980 course on Artificial Intelligence. Delve into the algorithmic techniques and data structures used in modern problem-solving environments, with a focus on MDPs and their applications in AI. Learn from Professor David Churchill as he presents this crucial topic in the field of artificial intelligence, providing insights that can be applied to simple games and real-world scenarios. Gain a deeper understanding of decision-making processes in uncertain environments and how MDPs form the backbone of many reinforcement learning algorithms.

Syllabus

COMP6980 - Intro to Artificial Intelligence - Lecture 17 - Markov Decision Process (MDP)


Taught by

Dave Churchill

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